Role: AI/ML Engineer
Experience : 0-3 yrs
Location : Bangalore, Mumbai
Key Responsibilities:
Build, train, fine-tune, and deploy machine learning and deep learning models for real-world applications.
Develop AI-driven predictive and recommendation systems for career counselling, adaptive mock testing, ERP reporting, and intelligent business automation.
Design and implement personalized recommendation engines for career paths, courses, colleges, and learning resources.
Build Natural Language Processing (NLP) solutions for resume/CV screening, sentiment analysis, complaint classification, and intelligent search.
Develop Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
Create adaptive assessment and performance analytics systems for competitive exam preparation platforms.
Build AI-powered reporting and decision-support systems for HR, Finance, Operations, Supply Chain, and Facility Management.
Develop and optimize data pipelines for data preprocessing, feature engineering, model training, and inference.
Deploy AI models as scalable APIs using FastAPI or Flask.
Integrate AI services with ERP modules, web applications, mobile apps, and workflow automation systems.
Train and fine-tune custom models rather than relying solely on third-party APIs.
Required Skills
1-3 years of experience in Machine Learning / Data Science / AI model development. Proficiency in Python, NumPy, Pandas, Scikit-learn, and one deep learning framework (TensorFlow or PyTorch).
Strong understanding of algorithms like regression, classification, clustering, time-series forecasting, and NLP models.
Experience with data preprocessing, feature engineering, and model evaluation. Familiar with Flask / FastAPI for model deployment and SQL / NoSQL databases.
Understanding of business domains like operations, finance, or workforce analytics. Good to Have Exposure to Generative AI, LLMs, or Retrieval-Augmented Generation (RAG) systems. Experience with MLOps tools (Docker, MLflow, Airflow, or AWS Sagemaker).
Hands-on with IoT / sensor data, predictive maintenance, or facility operations data. Knowledge of vector
Pay: ₹400,000.00 - ₹600,000.00 per year
Work Location: In person
